Investigating the effectiveness of helpful reviews and reviewers in hotel industry

Yen Tzu Chao, Ping Yu Hsu, Ming Shien Cheng, Hong Tsuen Lei, Shih Hsiang Huang, Yen Huei Ko, Grandys Frieska Prassida, Chen Wan Huang

研究成果: 書貢獻/報告類型會議論文篇章同行評審

1 引文 斯高帕斯(Scopus)


With the growth of e-commerce, online consumer reviews have become important attributes that influence purchasing decisions. Especially, hotel industry has strongly influenced by online reviews due that most tourists cannot experience all hotels personally and the service levels among hotels are very different. However, the flood of online consumer reviews has caused information overload, making it difficult for consumers to choose reliable reviews. Therefore, helpful remarks of hotel review should potentially have strong influence on users. Previous research focused on how to predict the helpful scores of reviews, but it has not explored the influence of reviews marked with helpfulness. The aim of this study is to investigate whether the helpful reviews and reviewers who contribute many reviews really have effects on the marks hotel received. With analysis of reviews contributed in for three hundred hotels scattered in ten cities of U.S., this study found both reviewer contribution, and helpful review has a positive effect on marks of hotels. Moreover, the research also discovered that the helpfulness of reviews is negatively relates to the ratings. Also, the research found that the standard deviation of review mark is positively relates to hotel ranks.

主出版物標題Advances in Swarm Intelligence - 9th International Conference, ICSI 2018, Proceedings
編輯Ying Tan, Qirong Tang, Yuhui Shi
發行者Springer Verlag
出版狀態已出版 - 2018
事件9th International Conference on Swarm Intelligence, ICSI 2018 - Shanghai, China
持續時間: 17 6月 201822 6月 2018


名字Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
10942 LNCS


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